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Development of antibody-drug conjugates targeting L1CAM to treat metastatic cancer

GSE307811 Homo sapiens (human) RNA-seq (gene expression) 1 samples Submitted 2025/12/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 1 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
1 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Development of Antibody-Drug Conjugates Targeting L1CAM to Treat Metastatic CancerMolecular cancer therapeutics · 2026
Summary (written by the submitters)
Effective treatments for metastatic disease have eluded precision oncology efforts and represent a major unmet need. The L1 cell adhesion molecule (L1CAM) is a transmembrane protein expressed by populations of Metastasis Stem cells (MetSC), that are enriched for the ability to reinitiate and propel metastatic growth and display phenotypic plasticity and resistance to conventional chemotherapies.
Read the full summary ↓
Notably, L1CAM+ MetSC have been detected in numerous human solid tumor types and in multiple disseminated organ sites. As a selective marker of MetSC, L1CAM is a promising candidate for molecularly targeted drugs aimed at eliminating metastases, yet strategies to date have not achieved clinical success. Here, we develop antibody-drug conjugates to deliver highly toxic PNU-159682 payloads to L1CAM-expressing cells. We report the generation of monoclonal antibodies (mAb) with high binding affinity, specificity and selectivity for the human L1CAM extracellular domain. After further optimization of the L1CAM mAbs, PNU-159682 was conjugated to generate ADC variants with both cleavable and non-cleavable linkers, with an average drug-antibody-ratio (DAR) of four. The three ADCs (Y-004, Y-005 and Y-006) potently killed cells with varying levels of surface L1CAM expression. L1CAM ADCs given as monotherapy resulted in robust tumor growth control and extended survival in mice harboring subcutaneous L1CAM+ xenografts or L1CAM+ lung metastases, with safety analyses indicating a feasible therapeutic window. Our findings provide strong proof-of-concept to extend preclinical development of these novel L1CAM ADCs as therapeutic agents for advanced cancer.
Published in
Development of Antibody-Drug Conjugates Targeting L1CAM to Treat Metastatic Cancer
Park JS, Kenum C, He L et al. · Molecular cancer therapeutics 2026 · PMID 41511407 · doi:10.1158/1535-7163.MCT-25-1184
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE307811_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1327350 and SRA study SRP619179. Searching any of these in the dataset finder brings you back here.

Samples in this study

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